A global enterprise B2B organisation operating across multiple regions sought to expand self-service analytics to reduce reliance on central data teams and accelerate decision-making. Sales, marketing, finance, customer success, and operations leaders all required faster access to performance data — particularly as AI-enabled tools were introduced to assist with forecasting, pipeline analysis, churn prediction, and revenue reporting.
A large multi-region contact centre faced exactly this challenge. Despite significant investment in telephony platforms, CRM systems, digital channels, workforce management, and AI-enabled routing, reporting remained voice-centric, inconsistent, and partially delayed.
A national utilities provider managing electricity and water infrastructure began expanding its use of advanced analytics and AI to improve outage prediction, demand forecasting, asset maintenance prioritisation, and regulatory reporting.
A mid-tier financial services organisation was accelerating its use of AI across risk modelling, customer insight, fraud monitoring, and executive reporting. Like many institutions in 2025, the organisation saw AI as a way to increase decision speed, reduce manual analysis, and improve predictive accuracy.
A national government department began expanding its use of AI to improve citizen service delivery, detect anomalies in public program administration, and streamline internal reporting. AI tools were introduced to support case triage, risk flagging, document analysis, and executive insight generation.
This leading airline & leisure travel brand is using Emite to report on critical contact center performance across the enterprise
This Real Estate and Property Management Software Development company needed to combine data from several disparate data sources in order to present unified analytics within their Genesys Cloud implementation. The data sets included: Genesys Cloud, Smoke.CI, a 3rd party WFM tool, a 3rd party survey tool, and an internal proprietary ticketing system.
Learn how Emite is helping a large banking group leverage customer sentiment data to improve customer retention and revenue.
A multinational pharmaceutical & biotechnology corporation that needed to help patients and providers across the world during the most historic time in modern healthcare.
How emite helped filter and make sense of extremely complex contact center data for a Fortune 500 healthcare provider.
